This project seeks to develop a method by which to optimize instrumentation systems against multiple variables. The project leverages a diagnostic model developed under the OCT GCD Autonomous Systems Project (TEAMS) to optimize the Deep Space Habitat sensor and instrumentation system. The results will be validated through hardware-in-the-loop testing.
The approach to developing this tool are the following: to use SysML to model the instrumentation system, to develop a method to seamlessly transfer data from SysML to TEAMS to perform testability/observability analysis, to develop a multi-variate optimization technique to examine testability, observability, mass, and cost optimization, to transfer data from SysML to the optimization tool, and to perform the optimization.More »
Anticipated benefits to NASA missions would include integration with AES L2 Habitat Ground Test Unit (MPLM/Cygnus). Future work would expand upon the variables considered, investigate larger and more complex instrumentation systems, long-term analysis, implementation of control logic, and integration with Advanced Caution and Warning to provide an integrated system.
|Organizations Performing Work||Role||Type||Location|
|Johnson Space Center (JSC)||Lead Organization||NASA Center||Houston, Texas|
|Ames Research Center (ARC)||Supporting Organization||NASA Center||Moffett Field, California|
|Jet Propulsion Laboratory (JPL)||Supporting Organization||NASA Center||Pasadena, California|